Triple

T489886
Position Surface form Disambiguated ID Type / Status
Subject Karen Kempner Zuckerberg E9962 entity
Predicate familyName P18 FINISHED
Object Kempner
Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
 E60868 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kempner | Statement: [Karen Kempner Zuckerberg, familyName, Kempner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kempner
Context triple: [Karen Kempner Zuckerberg, familyName, Kempner]
  • A. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kempner
Triple: [Karen Kempner Zuckerberg, familyName, Kempner]
Generated description
Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kempner
Target entity description: Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
  • A. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0e0a9648190b6a3b2da3a3b51e6 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a474738bb881908e5d0ff6a17301e8 completed March 1, 2026, 5:16 p.m.
NEDg Description generation batch_69a474dab57c8190918347a7a96c1536 completed March 1, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_69a475694ee8819082a54c4dc218b8dd completed March 1, 2026, 5:20 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.